通过对沉积微相的划分表明，储层主要为河道相。
The division of sedimentary microfacies of this block indicates that the reservoir bed mainly consists of channel facies.
研究表明，工区储层非均质性明显受沉积微相的控制。
It is indicated that the reservoir heterogeneity of the work area is obviously controlled by the sedimentary microfacies.
沉积相和沉积微相研究是油藏描述技术中的基础工作。
It is a fundamental work to study sedimentary factes or micro factes in reservoir description.
这些沉积微相特征对储层物性的预测都具有重要意义。
The identification of these characteristics is significant for reservoir quality prediction.
成功地给出了沉积微相边缘追踪算法和边缘线生成算法。
The microfacies boundary tracing and drawing algorithms used for making microfacies map automatically were given.
此模型对解决沉积微相自动识别问题具有良好的适应性。
The model has a good adaptability to the problem of automatic identification of sedimentary facies.
同时分析了不同沉积微相的空间展布特征及平面展布特征。
Simultaneously analysed the character of the distribution of roomage and plane of different sedimentary microfacies.
从储层精细描述的角度，对储层、沉积微相进行精细研究。
In this paper, the formation sedimentary microfacies were discussed by fine formation description.
本文介绍用于沉积微相智能识别的神经网络模式识别方法。
This paper introduces an identification of sedimentary microfacies by the pattern recognition approach using artificial neural networks (ANN).
实践表明用该方法识别沉积微相，可靠性和识别效率得到很大提高。
The log practice shows that the method for sedimentary facies identification can highly improve interpretation reliability and efficiency.
在高频层序内研究了沉积微相的构成与演化特征以及储层分布规律。
The constitution and evolution features of sedimentary facies and reservoir distribution rules are studied within the high frequency sequence.
在沉积微相研究的基础上，通过交叉验证的方法实施储层参数定量预测。
On the basis of the sedimentary microfacies study, the collector parameter quantitative prediction was alternately verified.
并结合建模软件建立储层沉积微相模型，实现了测井解释成果的定量化应用。
It establishes reservoir microfacies using modeling software to realize quantitative application of well logging interpretation.
鄂尔多斯盆地；樊学地区；沉积微相；砂体展布；储层特征；油气富集规律。
Ordos basin; Fanxue area; Sedimentary microfacies; Sand bodys spread; Reservoir characteristics; Regularity of oil and gas enrichment.
顺序指示建模技术能够真实的再现相序变化特征，反映储层沉积微相的分布。
The technique of sequential indication modeling would be used to represent the characteristics of facies sequence changes, reflect the distribution of sedimentary microfacies of reservoirs.
本文利用多种测井曲线及其计算的地质参数曲线提取反映沉积微相的特征参数。
The characteristic parameters of sedimentary microfacies are extracted by using well logs and geological parameter curves.
主要沉积微相为水下分流河道、河口坝、远砂坝、席状砂、天然堤、决口扇等。
The main sedimentary microfacies comprise distributary channel, mouth bar, distal bar, blanket sand, natural levee and crevasse splay.
随着油田开发的不断深入，测井资料在沉积微相研究中起到了更为重要的作用。
With the progress of oilfield development, well logging data is becoming more and more important in studying sedimentary microfacies.
应当根据沉积微相的平面分布特征及储层非均质性的强弱采取不同的开发措施。
Then different development measures should be adopted based on the distribution characteristics of the sedimentary micro-facies and their differences in reservoir heterogeneity.
含油气砂岩段主要以三角洲前缘水下分流河道和水下分流河口砂坝沉积微相为主。
The environment of sandstone containing oil and gas includes underwater distributary's channel and estuary dam in the delta frontier.
沉积微相和流动单元空间分布的对比说明，前者好于后者，且有利于发现剩余油。
Contrasting the spatial distribution of reservoir flow units and sedimentary microfacies shows that the former is finer than the latter and is very advantaged to find residual oil.
不同的沉积微相其胶结类型不同，从而导致酸性水溶蚀次生孔隙所发育的程度迥异。
Generally, different sedimentary microfacies developed different types of cementation that controlled distribution of secondary pore dissolved by acid water solution.
研究了广利油田莱1、莱36断块的微型构造、沉积微相以及动态因素对油井生产的影响。
The influence of the microscopic structure, sedimentary microfacies and dynamic factors of Lai 1 and Lai 36 fault blocks in Guangli oilfield on the well production are studied.
东部地区不论在沉积微相和成岩条件，还是在古岩溶地貌上都处于不利位置，开发潜力小。
In eastern region, in terms of sedimentary microfacies and diagenetic conditions, or in karst topography are in disadvantageous position, potential for development is small.
充分分析和利用两种河流沉积微相的不同特征，对油田的生产、开发有着极其重要的意义。
Fully using different feature of sedimentary microfacies of two kinds of rivers has very important guiding meaning for...
针对河流-三角洲储层沉积微相的划分问题，提出了基于加权模糊推理神经网络的判别方法。
Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN.
该模型可同时处理油田沉积微相研究中专家的定性经验和反映油层沉积微相变化的定量数据。
This model can deal with the qualitative experience of experts in oil field sedimentary facies researching and the quantitative data reflect the changing of oil layer sedimentary facies.
为了更好地挖掘东辛地区稳矿砂体的油气勘探潜力，有必要对其沉积微相及储层特征进行研究。
It is necessary to study the sedimentary microfacies and reservoir characteristics of the stable mineral bearing strata in Dongxin area to further explore the oil and gas reserve of the target zone.
针对河流-三角洲储层沉积微相划分问题，提出了一种基于加权模糊推理神经网络的判别方法。
Focusing on the classification of sedimentary microfacies in fluvial delta reservoir, one diagnosis based on weighted fuzzy neural network is proposed.
针对河流-三角洲储层沉积微相划分问题，提出了一种基于加权模糊推理神经网络的判别方法。
Focusing on the classification of sedimentary microfacies in fluvial delta reservoir, one diagnosis based on weighted fuzzy neural network is proposed.
应用推荐